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Handbook of Latent Variable and Related Models

among observed and latent variables.- Covers a wide class of important models- Models and statistical methods described;

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Latent Variable Models and Factor Analysis

numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Generalized Latent Variable Modeling

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models;

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Advances in Latent Variable Mixture Models

latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems;

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Advances in Latent Variable Mixture Models

latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems;

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Latent Variable and Latent Structure Models

traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading;

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Confirmatory Factor Analysi For Aplie Re

using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and;

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Latent Variable and Latent Structure Models

traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading;

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Statistical Factor Analysis And Related Methods

Statistical Factor Analysis and Related Methods Theory and Applications In bridging the gap between the mathematical and statistical theory;

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Advances in Latent Class Analysis

Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and;

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Latent Markov Models for Longitudinal Data

focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models;

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Latent Markov Models for Longitudinal Data

focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models;

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Handbook Of Chemometrics And Qualimetrics

as neural networks, genetic algorithms and latent variable based methods.;

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Semialgebraic Statistics and Latent Tree Models

Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a;

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Semialgebraic Statistics and Latent Tree Models

Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a;

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Handbook of Advanced Multilevel Analysis

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the;

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The EM Algorithm and Related Statistical Models

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for;

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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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Latent Variable Modeling Using R

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the;

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Latent Variable Modeling Using R

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015;

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Latent Variable Modeling with R

exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data;

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